About the Opportunity
The Senior Applied Scientist plays a pivotal role in driving innovation and strategic decision-making within the organization.
1. Design, implement, and manage machine learning solutions to optimize business outcomes in high-pressure environments
2. Expertise in ML best practices (A/B testing, training/serving pipelines, feature engineering etc), algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization), and experiment design
3. Proficiency with scientific libraries in Python (numpy, pandas, polars) and Machine Learning tools and frameworks (ScikitLearn, Tensorflow, Keras, PyTorch)
4. Strong data engineering skills and experience working with large-scale datasets
5. Experience with big data tools (Apache Beam, Apache Kafka, Spark)
6. Experience with cloud technologies AWS, GCP or Azure
We are seeking an experienced Senior Applied Scientist to join our team and contribute to the development of innovative machine learning solutions that drive business growth and customer satisfaction.